\(\diamond \)Contribution:
In this paper, we propose an efficient solution to classify 3D point cloud models that is highly competitive in comparison with other state-of-the-art methods. It is also efficient in terms of resource utilization. Furthermore, we develop a simple framework, Meta-SeL, to perform linear computations on CPUs rather than GPUs. We originally, as shown in Figure REF , proposed the idea of Meta-sense in [1]}, to perform a zero-shot learning (ZSL) task [2]}, and, further, we presented another work on computer vision using tuned-ZSL [3]}, and another on signal processing for human motion detection using ZSL [4]}.
